Data glove is widely used interface device which
measures hand posture (finger joint angles) and inputs it into
a computer in virtual reality field. But it dose not spread
throughout home because of expensive interface. On the other
hand, researches to recognize a hand posture from photo/video
images are performed, which are a kind of hand posture measurement
system and called Vision Based Data Glove (VBDG)
in recent years. In this paper, we propose a new VBDG system.
It estimates hand motion using detected fingertip positions with
monocular camera and inverse kinematics. However it cannot
estimate hand motion when a fingertip is undetectable with selfocclusion.
So our system estimates hidden finger motion, then
estimates hand motion. Our experimental results show that
the proposed method can estimate it with sufficient accuracy
in real-time. Since camera base system is inexpensive, it fits
personal use.
